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AF pricewin-price-comparison

Compare live hotel room rates across Booking.com, Agoda, Traveloka, and OpenTravel for specific dates — which OTA is cheapest for the same property, per-room prices, and free-cancellation terms. Use when comparing hotel prices, checking room rates for a named hotel, asking which site is cheaper, or finding the best rate for given check-in/check-out dates.

ClawHub Agent Skills author: wenlambo v1.0.3 MIT-0 4 files body ≈ 1 009 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Compare live hotel room rates across Booking.com, Agoda, Traveloka, and OpenTravel for specific dates — which OTA is cheapest for the same property, per-room…

As a process F 38/100 · Will not run — References files that are not bundled: ../pricewin-hotel-search/SKILL.md

ProcedureAI and agentsCommerceSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: ../pricewin-hotel-search/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../pricewin-hotel-search/SKILL.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: ../pricewin-hotel-search/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../pricewin-hotel-search/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1009 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 357: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a disclosed hotel price-comparison guide that uses a PriceWin MCP server and does not install code, access credentials, or perform bookings.
LLM: benign (high) · VirusTotal: · 2 Aug 2026